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Protege

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uuid00007pc

Namestring
Protege
Legal namestring
Protege Health, Inc.
Websiteurl
withprotege.ai
Company typeenum
Private
Founded yearint
2024
Descriptiontext

Protege is an AI training data platform founded in 2024 and headquartered in New York that operates a two-sided marketplace connecting organizations holding proprietary real-world data with AI developers. The company aggregates and curates multimodal datasets spanning healthcare (medical imaging, EHR, clinical notes, claims, lab results, pathology), media (premium video, sports, entertainment), audio and speech, and spatial/physical intelligence (egocentric video, motion capture, 3D assets) from a partner network of over 100 data providers. Its catalog includes over 300,000 hours of video, 500,000+ hours of audio, billions of clinical notes, and hundreds of millions of medical images, with SOC 2 Type 2 certification and HIPAA-compliant handling workflows. Core technology components include a Data Curation Engine (custom NLP and model-assisted classification for healthcare cohort selection), a Data Delivery Infrastructure capable of transferring hundreds of terabytes in hours with expert determination for privacy, and DataLab, a research initiative launched in March 2026 that produces evaluation datasets and benchmarks (MedScribe for clinical documentation, MedCode for medical coding) with a bench of PhD ML researchers.

The company generates revenue through data licensing transactions and marketplace commissions, taking a share of licensing fees between data providers and AI buyers while paying revenue-share royalties to data partners. Pricing is quote-based and not publicly disclosed; enterprise contracts are multi-year and structured around data modality, volume, and licensing terms. Protege serves two primary customer segments: AI model builders and frontier labs (including majority of the Magnificent Seven public companies) on the buy side, and healthcare data providers, media content owners, and emerging physical AI data holders on the supply side. Distribution combines direct enterprise sales with a channel partner model working with hundreds of data providers. The company has raised $65 million in total funding across three rounds: a $10M seed (September 2024, CRV), a $25M Series A (August 2025, Footwork), and a $30M Series A-1 extension (January 2026, a16z). It acquired Calliope Networks in December 2024 to enter the media vertical and has expanded into Audio & Speech, Motion Capture, and Spatial & Physical Intelligence through organic launches and partnerships with HC1, Loopback Health, Segmed, Gradient Health, OneMedNet, HistAI, Shaip, Sunain, ALLSIDES, VLGE AI, ToughData, and Render Ready.

Short descriptiontext

Protege operates an AI training data marketplace that connects proprietary real-world data holders (healthcare, media, audio, physical/spatial) with AI model builders via compliant licensing, serving majority of the Magnificent Seven and 100+ data providers.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
1–10
akta.pro rankint
HeadquartersNew City, United States
HQ citystring
New City
HQ countrystring
United States
HQ regionstring
North America
Markets served

Serves global market

Offices1 record

Each record includes

City, Country, Type, Description, Source

Keyword5 values
AI training data, data licensing, multimodal datasets, data marketplace, real-world data
Industry1 code
1AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs)
CodeHDAEANAJPrimaryYes
NAICS code2 codes
  • Software Publishers513210
  • Software Publishers5132
SIC code2 codes
  • Services-Computer Programming, Data Processing, Etc.7370
  • Services-Prepackaged Software7372
Product category
AI Training Data Marketplace
Social media profiles1 record
GTM motion3 records

Each record includes

Type, Description, Source

Revenue model3 records
1Data Licensing
TypeTransaction Fee
Description

Facilitates licensing of proprietary real-world datasets (healthcare, media, audio, imaging) to AI developers. Provides revenue-share agreements with data providers. Generates tens of millions in revenue for data partners.

pulse2.com
2Data Aggregation Platform
TypeMarketplace Commission
Description

Aggregates and curates datasets from hundreds of data partners, providing AI-ready data to companies. Revenue generated through data transactions with enterprise AI buyers.

a16z.com
3Partner Revenue Share
TypeLicensing Royalties
Description

Data partners receive revenue-share payouts with each use of their licensed data. Sports rights distributor generated over $250k in net-new revenue within first year.

withprotege.ai
Marketing channels4 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels2 records

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components5 values
Personnel, Technology or R&D, Operations, Infrastructure, Marketing or Sales
Pricing details1 tier
1Enterprise data licensing with custom pricing
ModelTransaction based/ take rateBilling cadenceMulti-year contract
Notes

Pricing varies based on data modality (healthcare, video, audio, motion capture), volume, and licensing structure. Multi-year license agreements available.

pulse2.com
GTM typeB2B
B2B
Offering typeDigital Commerce or Conte…
Digital Commerce or Content
Core offering1 text field

Protege operates a B2B data exchange platform that aggregates, curates, and licenses proprietary real-world datasets across healthcare, media, audio, and motion capture domains to AI developers. The platform connects data holders (healthcare organizations, media companies, audio contributors) with AI labs and frontier model builders through governed marketplace agreements with rights protections, revenue-share payouts, and HIPAA-compliant handling of sensitive data.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 4 values shown
  • 20x revenue growth in 2025
+3 more records
Product overview1 text field

Protege operates as a unified AI data platform connecting organizations holding proprietary real-world data with AI developers. The core Protege Platform serves as the central infrastructure for data aggregation, curation, and licensing across multiple domains. Supporting the platform is DataLab, a research institution focused on advancing AI data science through evaluation datasets and benchmarks. The product portfolio includes domain-specific verticals for Healthcare, Video, Audio & Speech, and Spatial & Physical Intelligence data. Key evaluation products include MedScribe (clinical documentation) and MedCode (medical coding) benchmarks. The company acquired Calliope Networks in late 2024 to expand into premium media content, and has partnered with hundreds of data providers to offer multimodal datasets spanning medical imaging, EHR/clinical notes, claims, audio, video, and 3D assets.

Product and service5 records
1Protege Platform
CategoryAI training data platform
Description

Core AI training data platform that connects organizations holding proprietary real-world data with AI developers. Aggregates and curates multimodal datasets across healthcare, media, audio, and motion capture for AI model development across pre-training, post-training, fine-tuning, and evaluation stages.

2DataLab
CategoryResearch and benchmarks
Description

Research initiative within Protege focused on advancing the science of AI data. Develops evaluation datasets and benchmarks, conducts research on data quality, and works with AI labs to improve dataset quality, selection, and evaluation methodologies.

3Healthcare Evaluation Datasets
CategoryHealthcare AI evaluation benchmarks
Description

Benchmark-specific real-world healthcare datasets that do not overlap with training data. Includes clinical diagnostic evaluations, triage benchmarks, and datasets reflecting the full multimodal patient journey for unbiased healthcare AI model evaluation.

4MedScribe
CategoryHealthcare AI evaluation benchmark
Description

Clinical documentation quality benchmark evaluating whether AI scribes can produce reliable SOAP notes from encounter transcripts using expert-developed rubrics that score documentation quality, structural correctness, and clinical fidelity.

5MedCode
CategoryHealthcare AI evaluation benchmark
Description

Medical coding benchmark evaluating AI systems on ICD code assignment. Uses EMR datasets linked to billing outcomes including submitted codes, approved codes, and denial patterns to test clinical reasoning and revenue-cycle optimization.

Scale indicator7 records

Each record includes

Type, Value, Description, Source

Partnership16 partners
Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2026-06-25
Description

Partnership brings world-leading reality-grade 3D Digital Twin infrastructure. ALLSIDES' proprietary scanning technology creates accurate 3D digital twins of objects with physical properties. Trusted by Meta, Amazon, Nike, adidas, Zara, Zalando and working with NVIDIA.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2026-06-22
Description

Strategic collaboration for embodied retail behavior and world model training data. Combines Protege's data ecosystem with VLGE's world building and spatial intelligence infrastructure for next generation AI systems and agents.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2026-02-19
Description

Partnership on healthcare benchmarks including MedScribe (clinical documentation) and MedCode (medical coding). Protege provides evaluation-ready data while Vals provides evaluation framework and rubric-based scoring.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2026-02-12
Description

Partnership provides one of the largest de-identified lab data repositories with over 12 billion historical lab results. Enables AI developers to access rich laboratory data across the United States for early disease detection, risk stratification, and diagnostics optimization.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2026-02-02
Description

Multimodal data company collecting audio, video, gameplay, and egocentric data through global contributor network. Makes datasets available for AI training and evaluation via Protege platform across 30+ countries and 50+ languages.

Strategic tierMinorTypeStrategic or Co-development PartnerAnnounced on2026-01-29
Description

Partnership unlocks access to exclusive diabetes research and medical content including journals, articles, research papers, and conference presentations for healthcare AI model training and evaluation.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2026-01-27
Description

Human skill data infrastructure for Physical AI. Captures motion, decision-making, and safety behaviors for embodied intelligence training. Data available for licensing via Protege for imitation learning, policy learning, and robotics development.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2026-01-21
Description

Partnership delivers multimodal clothing datasets pairing high-fidelity garment captures with human motion. Enables realistic cloth simulation for games, ML models, robotics, and digital twins.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2026-01-20
Description

EHR data provider partnership to enrich patient cohorts for healthcare AI training. Delivered thousands of matched patients in under 90 days, connecting existing modality data with structured and unstructured EHR data.

Strategic tierMinorTypeStrategic or Co-development PartnerAnnounced on2026-01-15
Description

Video podcast and mini-documentary content provider adding authentic emotional narrative audiovisual content. Rights-protected for development use, helping AI systems better understand genuine human emotion.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2025-11-17
Description

Leading provider of medical imaging studies. Partnership generated seven-figure net new revenue in under one year. Gradient's de-identified, HIPAA-compliant data at scale combined with Protege's AI training data expertise shortened data delivery timelines from months to weeks.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2025-10-14
Description

Partnership provides large-scale, curated digital pathology dataset including hundreds of thousands of whole-slide images and metadata. Accelerates AI applications in oncology, rare diseases, and histological analysis.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2025-05-10
Description

Partnership advances future of AI-driven healthcare with real-time, multimodal data. OneMedNet's network spans 121 million clinical exams across 1,400 hospital and healthcare provider sites.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2025-03-01
Description

Partnership to enhance access to curated medical datasets for developing compliant healthcare AI models.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2025-01-29
Description

Multimodal healthcare data access through Segmed's provider network covering all 50 US states. Combines Segmed's imaging depth and compliance with Protege's cross-modal standardization for enterprise-ready multimodal packages.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2024-12-18
Description

Acquired in December 2024 to expand from healthcare into media vertical. Provides access to extensive premium video content including TV, film, news, and sports totaling hundreds of thousands of hours globally.

Recent move7 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight6 records

Each record includes

Type, Description

Market position
Competitive moat6 records

Each record includes

Type, Details

Key risks6 records

Each record includes

Headline, Details, Source

Key highlights7 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Named customers8 records

Each record includes

Name, Industry, Type, Use case, Source, UUID

Segment4 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile3 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
No

Docs URL, Description

AI capability9 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature4 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles8 records

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

Subsidiaries1 record

Each record includes

Name, Acquired on, Relationship type, Type, Business focus

Compliance2 records

Each record includes

Name, Class, Description

Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds3 records

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors8 records

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A1 record

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Protege

AI Training Data Marketplacewithprotege.ai

Protege operates an AI training data marketplace that connects proprietary real-world data holders (healthcare, media, audio, physical/spatial) with AI model builders via compliant licensing, serving majority of the Magnificent Seven and 100+ data providers.

What Protege does

Protege is an AI training data platform founded in 2024 and headquartered in New York that operates a two-sided marketplace connecting organizations holding proprietary real-world data with AI developers. The company aggregates and curates multimodal datasets spanning healthcare (medical imaging, EHR, clinical notes, claims, lab results, pathology), media (premium video, sports, entertainment), audio and speech, and spatial/physical intelligence (egocentric video, motion capture, 3D assets) from a partner network of over 100 data providers. Its catalog includes over 300,000 hours of video, 500,000+ hours of audio, billions of clinical notes, and hundreds of millions of medical images, with SOC 2 Type 2 certification and HIPAA-compliant handling workflows. Core technology components include a Data Curation Engine (custom NLP and model-assisted classification for healthcare cohort selection), a Data Delivery Infrastructure capable of transferring hundreds of terabytes in hours with expert determination for privacy, and DataLab, a research initiative launched in March 2026 that produces evaluation datasets and benchmarks (MedScribe for clinical documentation, MedCode for medical coding) with a bench of PhD ML researchers.

The company generates revenue through data licensing transactions and marketplace commissions, taking a share of licensing fees between data providers and AI buyers while paying revenue-share royalties to data partners. Pricing is quote-based and not publicly disclosed; enterprise contracts are multi-year and structured around data modality, volume, and licensing terms. Protege serves two primary customer segments: AI model builders and frontier labs (including majority of the Magnificent Seven public companies) on the buy side, and healthcare data providers, media content owners, and emerging physical AI data holders on the supply side. Distribution combines direct enterprise sales with a channel partner model working with hundreds of data providers. The company has raised $65 million in total funding across three rounds: a $10M seed (September 2024, CRV), a $25M Series A (August 2025, Footwork), and a $30M Series A-1 extension (January 2026, a16z). It acquired Calliope Networks in December 2024 to enter the media vertical and has expanded into Audio & Speech, Motion Capture, and Spatial & Physical Intelligence through organic launches and partnerships with HC1, Loopback Health, Segmed, Gradient Health, OneMedNet, HistAI, Shaip, Sunain, ALLSIDES, VLGE AI, ToughData, and Render Ready.

Protege firmographics

Firmographics
Name
Protege
Legal name
Protege Health, Inc.
Website
https://withprotege.ai
Company type
Private
Founded year
2024
Operating status
Operating
Headcount range
1–10 employees
Short description
Protege operates an AI training data marketplace that connects proprietary real-world data holders (healthcare, media, audio, physical/spatial) with AI model builders via compliant licensing, serving majority of the Magnificent Seven and 100+ data providers.
Ownership category
akta.pro rank

Protege industry classification

Industry
Product category
AI Training Data Marketplace
NAICS
Software Publishers (513210), Software Publishers (5132)
SIC
Services-Computer Programming, Data Processing, Etc. (7370), Services-Prepackaged Software (7372)
akta.pro primary industry
AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs) (HDAEANAJ)

Keywords

  • AI training data
  • Data licensing
  • Multimodal datasets
  • Data marketplace
  • Real-world data

Where Protege is headquartered

Location

Headquarters

HQ city
New City
HQ country
United States
HQ region
North America

Offices1 record

Markets served

Protege business model

Business model
GTM type
B2B
Offering type
Digital Commerce or Content
Cost components
Personnel, Technology or R&D, Operations, Infrastructure, Marketing or Sales

Revenue model

  1. Data Licensing: Facilitates licensing of proprietary real-world datasets (healthcare, media, audio, imaging) to AI developers. Provides revenue-share agreements with data providers. Generates tens of millions in revenue for data partners.
  2. Data Aggregation Platform: Aggregates and curates datasets from hundreds of data partners, providing AI-ready data to companies. Revenue generated through data transactions with enterprise AI buyers.
  3. Partner Revenue Share: Data partners receive revenue-share payouts with each use of their licensed data. Sports rights distributor generated over $250k in net-new revenue within first year.

Pricing tiers

ModelBillingPrice
Transaction based/ take rateMulti-year contractEnterprise data licensing with custom pricing

Go-to-market motion3 records

Distribution channels2 records

Marketing channels4 records

Protege product offering

Product offering

Core offering

Protege operates a B2B data exchange platform that aggregates, curates, and licenses proprietary real-world datasets across healthcare, media, audio, and motion capture domains to AI developers. The platform connects data holders (healthcare organizations, media companies, audio contributors) with AI labs and frontier model builders through governed marketplace agreements with rights protections, revenue-share payouts, and HIPAA-compliant handling of sensitive data.

Product overview

Protege operates as a unified AI data platform connecting organizations holding proprietary real-world data with AI developers. The core Protege Platform serves as the central infrastructure for data aggregation, curation, and licensing across multiple domains. Supporting the platform is DataLab, a research institution focused on advancing AI data science through evaluation datasets and benchmarks. The product portfolio includes domain-specific verticals for Healthcare, Video, Audio & Speech, and Spatial & Physical Intelligence data. Key evaluation products include MedScribe (clinical documentation) and MedCode (medical coding) benchmarks. The company acquired Calliope Networks in late 2024 to expand into premium media content, and has partnered with hundreds of data providers to offer multimodal datasets spanning medical imaging, EHR/clinical notes, claims, audio, video, and 3D assets.

Differentiator

Problem solved

Functional benefit

Products and services

  • Protege Platform Core AI training data platform that connects organizations holding proprietary real-world data with AI developers. Aggregates and curates multimodal datasets across healthcare, media, audio, and motion capture for AI model development across pre-training, post-training, fine-tuning, and evaluation stages.
  • DataLab Research initiative within Protege focused on advancing the science of AI data. Develops evaluation datasets and benchmarks, conducts research on data quality, and works with AI labs to improve dataset quality, selection, and evaluation methodologies.
  • Healthcare Evaluation Datasets Benchmark-specific real-world healthcare datasets that do not overlap with training data. Includes clinical diagnostic evaluations, triage benchmarks, and datasets reflecting the full multimodal patient journey for unbiased healthcare AI model evaluation.
  • MedScribe Clinical documentation quality benchmark evaluating whether AI scribes can produce reliable SOAP notes from encounter transcripts using expert-developed rubrics that score documentation quality, structural correctness, and clinical fidelity.
  • MedCode Medical coding benchmark evaluating AI systems on ICD code assignment. Uses EMR datasets linked to billing outcomes including submitted codes, approved codes, and denial patterns to test clinical reasoning and revenue-cycle optimization.

Quantifiable outcome

  • 20x revenue growth in 2025
  • +3 more outcomes

Companies that use Protege

Customer profile

Named customers8 records

Segments4 records

Ideal customer profiles3 records

Protege technology and API

Technology

Technology focussed Yes

API detail

Has API
No
API docs
API detail

Core technology

AI maturity

App detail

AI capability9 records

Feature4 records

Protege partnerships and signals

Strategic signal

Partnerships

16 partnerships are on record, tiered core and minor.

  • ALLSIDEScoreStrategic or Co-development Partner · 25 June 2026Partnership brings world-leading reality-grade 3D Digital Twin infrastructure. ALLSIDES' proprietary scanning technology creates accurate 3D digital twins of objects with physical properties. Trusted by Meta, Amazon, Nike, adidas, Zara, Zalando and working with NVIDIA.
  • VLGE AIcoreStrategic or Co-development Partner · 22 June 2026Strategic collaboration for embodied retail behavior and world model training data. Combines Protege's data ecosystem with VLGE's world building and spatial intelligence infrastructure for next generation AI systems and agents.
  • Vals AIcoreStrategic or Co-development Partner · 19 February 2026Partnership on healthcare benchmarks including MedScribe (clinical documentation) and MedCode (medical coding). Protege provides evaluation-ready data while Vals provides evaluation framework and rubric-based scoring.
  • HC1coreStrategic or Co-development Partner · 12 February 2026Partnership provides one of the largest de-identified lab data repositories with over 12 billion historical lab results. Enables AI developers to access rich laboratory data across the United States for early disease detection, risk stratification, and diagnostics optimization.
  • SunaincoreStrategic or Co-development Partner · 2 February 2026Multimodal data company collecting audio, video, gameplay, and egocentric data through global contributor network. Makes datasets available for AI training and evaluation via Protege platform across 30+ countries and 50+ languages.
  • KC PublicationsminorStrategic or Co-development Partner · 29 January 2026Partnership unlocks access to exclusive diabetes research and medical content including journals, articles, research papers, and conference presentations for healthcare AI model training and evaluation.
  • Tough DatacoreStrategic or Co-development Partner · 27 January 2026Human skill data infrastructure for Physical AI. Captures motion, decision-making, and safety behaviors for embodied intelligence training. Data available for licensing via Protege for imitation learning, policy learning, and robotics development.
  • Render ReadycoreStrategic or Co-development Partner · 21 January 2026Partnership delivers multimodal clothing datasets pairing high-fidelity garment captures with human motion. Enables realistic cloth simulation for games, ML models, robotics, and digital twins.
  • Loopback HealthcoreStrategic or Co-development Partner · 20 January 2026EHR data provider partnership to enrich patient cohorts for healthcare AI training. Delivered thousands of matched patients in under 90 days, connecting existing modality data with structured and unstructured EHR data.
  • PiZetta MediaminorStrategic or Co-development Partner · 15 January 2026Video podcast and mini-documentary content provider adding authentic emotional narrative audiovisual content. Rights-protected for development use, helping AI systems better understand genuine human emotion.
  • Gradient HealthcoreStrategic or Co-development Partner · 17 November 2025Leading provider of medical imaging studies. Partnership generated seven-figure net new revenue in under one year. Gradient's de-identified, HIPAA-compliant data at scale combined with Protege's AI training data expertise shortened data delivery timelines from months to weeks.
  • HistAIcoreStrategic or Co-development Partner · 14 October 2025Partnership provides large-scale, curated digital pathology dataset including hundreds of thousands of whole-slide images and metadata. Accelerates AI applications in oncology, rare diseases, and histological analysis.
  • OneMedNetcoreStrategic or Co-development Partner · 10 May 2025Partnership advances future of AI-driven healthcare with real-time, multimodal data. OneMedNet's network spans 121 million clinical exams across 1,400 hospital and healthcare provider sites.
  • ShaipcoreStrategic or Co-development Partner · 1 March 2025Partnership to enhance access to curated medical datasets for developing compliant healthcare AI models.
  • SegmedcoreStrategic or Co-development Partner · 29 January 2025Multimodal healthcare data access through Segmed's provider network covering all 50 US states. Combines Segmed's imaging depth and compliance with Protege's cross-modal standardization for enterprise-ready multimodal packages.
  • Calliope NetworkscoreStrategic or Co-development Partner · 18 December 2024Acquired in December 2024 to expand from healthcare into media vertical. Provides access to extensive premium video content including TV, film, news, and sports totaling hundreds of thousands of hours globally.

Scale indicators7 records

Recent moves7 records

Expansion highlights6 records

Protege competitors and assessment

Company assessment

Market position

Competitive moat6 records

Key risks6 records

Key highlights7 records

Customer concentration

Protege social profiles

Digital presence

Protege compliance and trust

Trust signal

Compliance2 records

Protege financial estimates

Financial estimate

Revenue estimate

Valuation estimate

Protege leadership team

Management profile

Number of profiles

Profiles8 records

Protege subsidiaries and ownership

Company hierarchy

Subsidiaries1 record

Protege funding detail

Funding detail

Funding overview

Funding rounds3 records

Investors8 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

Protege M&A and investment

M&A and investment

M&A1 record

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Protege

What does Protege do?

Protege operates a B2B data exchange platform that aggregates, curates, and licenses proprietary real-world datasets across healthcare, media, audio, and motion capture domains to AI developers. The platform connects data holders (healthcare organizations, media companies, audio contributors) with AI labs and frontier model builders through governed marketplace agreements with rights protections, revenue-share payouts, and HIPAA-compliant handling of sensitive data.

Is Protege a public or private company?

Protege is a private company. It is classified as venture growth investor backed and is currently operating.

When was Protege founded?

Protege was founded in 2024. It employs 1 to 10 people.

Where is Protege based?

Protege is headquartered in New City, United States, in the North America region.

How does Protege make money?

Three revenue lines are on record. Data Licensing is the primary driver. The others are data Aggregation Platform and partner Revenue Share.

Does Protege have an API?

No public API is recorded for Protege.

What industry is Protege in?

Protege's product category is AI Training Data Marketplace. Its primary akta.pro industry code is HDAEANAJ, AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs). Its NAICS code is 513210 and its SIC code is 7370.

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Live signals
Naver"인터넷은 다 긁었다"…AI 기업, 사내 메신저 대화까지 사들인다AI startup Protege is acquiring Warmly, a developer of AI-powered sales intelligence tools, in a deal valued at approximately $30 million. This acquisition expands Protege's capabilities to ingest diverse data sources, including internal corporate communications like Slack messages, for training its large language models. The move highlights the intensifying competition among AI firms to secure proprietary and real-time business data.NaverAI 학습에 사내 메신저 대화까지…“프라이버시 침해 우려”AI developers are increasingly purchasing proprietary internal corporate data, such as employee chat logs and code histories, to train their models as public internet data sources become limited. This surge in demand has led to significant revenue growth for data intermediaries like Protege, which expects its transaction volume to rise from $30 million to at least $100 million this year. However, the practice raises serious concerns regarding privacy violations and accusations that large tech firms are undervaluing startups' core intellectual assets.ForbesThe Future Of AI Training Data Is Human. The Question Is HowVLGE, a world-building platform, and Protege, a data firm, have announced a partnership to use spatial world data for AI training, capturing behavioral signals like movement trajectories, hesitation patterns, and spatial decision-making. The collaboration aims to address biases in traditional data-labeling by collecting data from users pursuing their own goals in virtual environments rather than from contractors working under constrained conditions. The article frames human behavioral data as the essential fuel for AI advancement, raising questions about how such data will be collected ethically and whether participants will be treated as respected contributors rather than minimized labor.Pulse 2.0Protege: Interview With Co-Founder & CEO Bobby Samuels About The AI Data PlatformProtege, an AI data platform co-founded by Bobby Samuels that connects private data holders in healthcare and media with AI developers for compliant data licensing, has secured $65 million in total funding since its 2024 launch, including a recent $30 million Series A-1 extension led by Andreessen Horowitz. The company acquired Calliope Networks in 2025 to expand into premium media and video data, and highlighted a partnership with Gradient Health that generated seven-figure net new licensing revenue for the healthcare AI data provider in under a year. Protege positions itself as a privacy-first alternative to scraped web data, offering curated, AI-ready datasets for training, evaluation, and benchmarking across multiple data modalities.BusinessGhanaMicrofinance firms urge BoG to review GHC50m capital requirementGhana's microfinance sector urged the Bank of Ghana to reconsider its proposed minimum capital increase to GHC50 million, warning it could threaten indigenous firms and undermine financial inclusion. The BoG has directed recapitalisation by year-end, but stakeholders called for a phased, tiered approach. They emphasized that reforms must be practical and inclusive to avoid widespread collapse.WowtaleWhere Frontier AI Labs is pouring money - AI Data Labeling Market Landscape 2026AI data labeling market emphasizes quality, with Appen's value falling from $4.5 billion in 2020 to about $130 million due to client losses. Investors expect only firms with domain expertise, evaluation infrastructure, and data governance to survive.openPR.comCompetitive Landscape: Leading Companies and New Entrants in the Healthcare Data Annotation Tools MarketThe healthcare data annotation tools market is projected to reach $1.09 billion by 2030, growing at a compound annual growth rate of 28.4%, driven by increasing AI-powered diagnostic solutions and rising demand for scalable annotation platforms. In March 2025, Shaip partnered with Protege to enhance access to curated medical datasets for developing compliant healthcare AI models. Additionally, UK-based medical device firm Penlon launched a new Infusion System series in May 2025 featuring advanced pump technology for clinical settings.HpcwireData Science • AI • Advanced AnalyticsProtege, an AI data platform focused on delivering large-scale real-world datasets for model training, has launched DataLab, a research initiative intended to bring scientific rigor and standards to the AI data layer, including dataset quality, selection, representation, and evaluation. The company claims most of the Magnificent 7 tech companies and multiple frontier AI labs are participating in early training and evaluation data collaborations. The initiative addresses the growing recognition that AI progress is increasingly constrained by data limitations rather than models or compute, with the aim of treating data as critical infrastructure for advancing AI capabilities.Business Wire BlogProtege Launches DataLab to Make AI Data a Scientific DisciplineProtege, an AI data platform, announced the launch of DataLab at Protege, a new research institution dedicated to advancing the science of AI data quality, selection, and evaluation methodologies. At launch, a majority of the "Magnificent 7" AI companies and major frontier AI labs are collaborating with DataLab on AI training and evaluation data projects. The initiative addresses data quality as an emerging constraint in frontier AI development, treating AI data as a scientific discipline with standards, reproducibility, and rigorous methodology.Lowenstein Sandler LLPLowenstein Represents Protege in $30M Series A Funding Round Lead by a16zLowenstein Sandler represented Protege, an AI data platform, in its $30 million Series A-1 funding round led by a16z, with total funding now at $65 million. Protege's platform aggregates data sources for AI development globally, supporting industry-wide AI training and evaluation.